Skill UI

A comprehensive guide for elevating the logical rigor and conceptual clarity of advanced social science manuscripts. It teaches authors how to explicitly define key concepts, ensure every section directly advances the core proposition, and construct a robust, defensible argumentative chain, particularly useful for theoretical and normative papers.

A comprehensive workflow guide for academic manuscripts targeting top-tier social science journals. It acts as a sophisticated router, advising authors on the correct sequence of revisions—from establishing the core problem and theorizing contributions to refining argumentation, literature dialogue, and style—ensuring the work meets standards for original theory and grand academic problems.

This guide details best practices for structuring supplementary material in highly technical academic submissions (e.g., STOC). It teaches authors how to design an appendix that facilitates selective verification by reviewers, ensuring that complex proofs, deferred results, and extended discussions are navigable. Key techniques include optimizing the Table of Contents, maintaining strict pointer discipline, and distinguishing between material required for core understanding versus material saved for the full version.

This comprehensive tool assesses the suitability of a manuscript for the Strategic Management Journal (SMJ). It guides authors through critical self-checks, focusing on the necessity of a clear contribution to strategy theory, the required level of empirical rigor (e.g., handling endogeneity), and ensuring the core focus remains on firm-level strategic decisions and performance outcomes. Essential for pre-submission refinement.

This skill helps authors assess the fit of their manuscripts for the journal Studies in Labor Economics. It analyzes whether the research theme, methodology, and contribution align with core labor economics topics (e.g., wages, employment, skills, social security). It provides detailed guidelines on structuring, required evidence, and potential revision directions before formal submission.

A specialized guide for researchers targeting the journal Taxation Research. It helps users vet their manuscripts for alignment with the journal's scope, structure, and academic expectations. The skill covers core themes such as tax reform, digital taxation, and international tax, while providing detailed advice on abstract writing, citation styles, methodology strength, and avoiding common rejection pitfalls.

This comprehensive skill guides authors on submitting manuscripts to The Journal of Roman Studies (JRS). It outlines JRS's core expectation: an original argument built directly on primary evidence (inscriptions, texts, artifacts, etc.). It covers disciplinary standards for Roman history, archaeology, epigraphy, and literature, ensuring submissions are appropriately framed and methodologically sound before actual submission.

This skill processes unstructured, rambling, stream-of-consciousness input (like dictation or brainstorming) into a highly structured 'echo' audit. It captures the user's core mission, locked decisions, open questions, and all model inferences, ensuring the user verifies the model's belief, not just the stated doubts. Ideal for refining fuzzy ideas before committing to work.

This guide helps researchers determine the most appropriate conference (UAI, AISTATS, NeurIPS, ICML, etc.) for their work, particularly when the core contribution revolves around uncertainty representation, probabilistic reasoning, or causal inference. It provides detailed filters and comparison points to refine the paper's scope and target audience.

A specialized guide for authors aiming to submit to the Conference on Uncertainty in Artificial Intelligence (UAI). It provides expert advice on framing the core contribution—such as probabilistic reasoning, causal inference, and uncertainty modeling—and calibrating the manuscript for highly technical, statistical ML reviewers. Use this skill to refine your submission strategy, identify evidence gaps, and properly position your work relative to other top-tier AI venues like AISTATS and IJCAI.

A comprehensive guide for optimizing computer science manuscripts targeting the USENIX Annual Technical Conference (ATC). It covers core systems research fields (OS, networking, storage, security), defining the required evidence bar (built artifacts, clean evaluation), and re-framing the paper's contribution to align with top-tier systems venue expectations.

This guide outlines the rigorous standards for establishing causal claims in development economics and social sciences. It covers robust quantitative methods (like DID, IV, RDD, RCT) and structured qualitative/mixed-methods approaches. The core principle is that the logical route from evidence to claim must be explicitly defensible and matched to the strength of the assertion, avoiding over-claiming.